PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,574 words searched).

  1. that's Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 744 · Carl 1;11
  2. draw Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 966 · Carl 1;11
  3. right here's Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 970 · Carl 1;11
  4. that's Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 972 · Carl 1;11
  5. I've not drawn Nana yet . MOT · eng_british_Manchester_I/carl07a.cha, line 978 · Carl 1;11
  6. Nana and Bert . MOT · eng_british_Manchester_I/carl07a.cha, line 994 · Carl 1;11
  7. draw Granddad next to Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 1000 · Carl 1;11
  8. there's Granddad and Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 1024 · Carl 1;11
  9. and Nana . MOT · eng_british_Manchester_I/carl07a.cha, line 1032 · Carl 1;11
  1. MOTthat's Zita yeah .
    CHIthere's Nana .
    MOT*MOT: that's Nana .
    CHIthere's Granddad .
    MOTand Granddad .
  2. CHINana .
    CHIdraw [/] draw Nana .
    MOT*MOT: draw Nana .
    CHIdraw here .
    MOTright here's Nana .
  3. MOTdraw Nana .
    CHIdraw here .
    MOT*MOT: right here's Nana .
    MOTthat's Nana .
    CHIGranddad .
  4. CHIdraw here .
    MOTright here's Nana .
    MOT*MOT: that's Nana .
    CHIGranddad .
    MOTwait a second .
  5. CHIGranddad .
    MOTwait a second .
    MOT*MOT: I've not drawn Nana yet .
    CHIoh dear .
    CHIwhat happened ?
  6. CHIwho's this ?
    CHIthat's Nana and Bert .
    MOT*MOT: Nana and Bert .
    CHIdraw Granddad .
    MOTdraw Granddad .
  7. CHIdraw Granddad .
    MOTdraw Granddad .
    MOT*MOT: draw Granddad next to Nana .
    CHIoh Granddad .
    CHIdraw Granddad .
  8. CHIears .
    MOTthere we go .
    MOT*MOT: there's Granddad and Nana .
    CHIGranddad and Bert .
    MOTand Bert .
  9. MOTand Bert .
    CHIand Nana .
    MOT*MOT: and Nana .
    MOTare you going to color them in ?
    MOTare you giving them kisses ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Carl eng_british_Manchester_I5.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl07a.chaCarl 1;11.031,574995.72

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. nana9 · 100.0%